| Job Description: |
Focus on designing, building, and optimizing AGENTIC capabilities using large language models and advanced reasoning frameworks.
Key Responsibilities
Strong technical depth, a passion for building, workstreams in a fast-paced, innovation-driven environment
Build serverless agentic product architectures and features on AWS using Bedrock AgentCore Memory, Gateway, Identity, Interpreter, Observability and Runtime
Implement and operate A2A/MCP servers on AWS; integrate with Bedrock Agents/Converse APIs
Orchestrate multi‑agent plans with Strands Agents; deploy to EKS or Lambda
Instrument agents with CloudWatch metrics, spans, and traces; enable audits
Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions
Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact
Experience in Strands Agents
Required Skills & Experience
Strong problem-solving and strategic thinking abilities
Strong collaboration skills in research-driven environments
Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime
Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)
Proficiency in Python and modern AI/ML frameworks
Experience with Natural Language to SQL (NL2SQL) automation using LLMs. Developed Text‑to‑SQL pipelines using AI/ML models
Proficiency in vector databases and embedding models for retrieval tasks
Experience with Data Connectors and API gateways that support seamless communication between systems
Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets
Strong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformation
Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI
Deep subject matter expertise in AI technologies, including but not limited to Copilot Studio, OpenAI, Semantic Kernels, Azure AI Foundry, Google Gemini, Microsoft 365, and M365 Copilot or Anthropic or AWS platforms
Role Descriptions: Agentic DeveloperFocus on designing| building| and optimizing AGENTC capabilities using large language models and advanced reasoning frameworks.Key ResponsibilitiesStrong technical depth| a passion for building| workstreams in a fast-paced| innovation-driven environmentBuild serverless agentic product architectures and features on AWS using Bedrock AgentCore Memory| Gateway| Identity| Interpreter| Observability and RuntimeImplement and operate A2AMCP servers on AWS integrate with Bedrock AgentsConverse APIsOrchestrate multi agent plans with Strands Agents deploy to EKS or LambdaInstrument agents with CloudWatch metrics| spans| and traces enable auditsCollaborate with product managers| data engineers| and UX teams to deliver production-ready solutionsFollow the roadmap for AI initiatives| ensuring they align with organizational goals and show measurable impactRequired Skills ExperienceStrong problem-solving and strategic thinking abilitiesStrong collaboration skills in research-driven environmentsHands on with Bedrock AgentCore Memory| Gateway| and RuntimeStrong experience with LLMs (fine-tuning| evaluation| prompt engineering)Proficiency in Python and modern AIML frameworksProficiency in vector databases and embedding models for retrieval tasksExperience with Data Connectors and API gateways that support seamless communication between systemsExperience with generative AI concepts such as Retrieval-Augmented Generation (RAG)| agentic workflows| training LLMs with structured and unstructured data setsStrong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformationHands-on with agent frameworks such as Semantic Kernel| LangGraph| LangChain Agents or CrewAIDeep subject matter expertise in AI technologies| including but not limited to Copilot Studio| OpenAI| Semantic Kernels| Azure AI Foundry| Google Gemini| Microsoft 365| and M365 Copilot or Anthropic or AWS platforms
Essential Skills: Agentic DeveloperFocus on designing| building| and optimizing AGENTC capabilities using large language models and advanced reasoning frameworks.Key ResponsibilitiesStrong technical depth| a passion for building| workstreams in a fast-paced| innovation-driven environmentBuild serverless agentic product architectures and features on AWS using Bedrock AgentCore Memory| Gateway| Identity| Interpreter| Observability and RuntimeImplement and operate A2AMCP servers on AWS integrate with Bedrock AgentsConverse APIsOrchestrate multi agent plans with Strands Agents deploy to EKS or LambdaInstrument agents with CloudWatch metrics| spans| and traces enable auditsCollaborate with product managers| data engineers| and UX teams to deliver production-ready solutionsFollow the roadmap for AI initiatives| ensuring they align with organizational goals and show measurable impactRequired Skills ExperienceStrong problem-solving and strategic thinking abilitiesStrong collaboration skills in research-driven environmentsHands on with Bedrock AgentCore Memory| Gateway| and RuntimeStrong experience with LLMs (fine-tuning| evaluation| prompt engineering)Proficiency in Python and modern AIML frameworksProficiency in vector databases and embedding models for retrieval tasksExperience with Data Connectors and API gateways that support seamless communication between systemsExperience with generative AI concepts such as Retrieval-Augmented Generation (RAG)| agentic workflows| training LLMs with structured and unstructured data setsStrong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformationHands-on with agent frameworks such as Semantic Kernel| LangGraph| LangChain Agents or CrewAIDeep subject matter expertise in AI technologies| including but not limited to Copilot Studio| OpenAI| Semantic Kernels| Azure AI Foundry| Google Gemini| Microsoft 365| and M365 Copilot or Anthropic or AWS platforms
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